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Geometric and radiometric evaluation of remote sensing information in virtual platforms
Geometric and radiometric evaluation of remote sensing information in virtual platforms
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Geometric and radiometric evaluation of remote sensing information in virtual platforms

Miranda, Jonathan da Rocha ; Alves, Marcelo de Carvalho

Earth science informatics, 2022-09, Vol.15 (3), p.1789-1800

Berlin/Heidelberg: Springer Berlin Heidelberg

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A cavity depth and volume estimation technique to support data collection in an image mining oriented geoprocessing system
A cavity depth and volume estimation technique to support data collection in an image mining oriented geoprocessing system
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A cavity depth and volume estimation technique to support data collection in an image mining oriented geoprocessing system

da Rocha, Edvar F. ; da Silva, Vanessa Gonçalves ; Guadagnin, Renato da Veiga ; Santana, Levy A. ; Neves, Rinaldo de S. ; Iturri de La Mata, Jose Antonio

Pattern recognition and image analysis, 2011-03, Vol.21 (1), p.30-34 [Periódico revisado por pares]

Dordrecht: SP MAIK Nauka/Interperiodica

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3
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach
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Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach

Krishna Kumar, P. ; Araki, Tadashi ; Rajan, Jeny ; Saba, Luca ; Lavra, Francesco ; Ikeda, Nobutaka ; Sharma, Aditya M. ; Shafique, Shoaib ; Nicolaides, Andrew ; Laird, John R. ; Gupta, Ajay ; Suri, Jasjit S.

Medical & biological engineering & computing, 2017-08, Vol.55 (8), p.1415-1434 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Strong-lensing analysis of MACSJ0717.5+3745 from Hubble Frontier Fields observations: How well can the mass distribution be constrained?
Strong-lensing analysis of MACSJ0717.5+3745 from Hubble Frontier Fields observations: How well can the mass distribution be constrained?
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Strong-lensing analysis of MACSJ0717.5+3745 from Hubble Frontier Fields observations: How well can the mass distribution be constrained?

Limousin, M ; Richard, J ; Jullo, E ; Jauzac, M ; Ebeling, H ; Bonamigo, M ; Alavi, A ; Clement, B ; Giocoli, C ; Kneib, J-P ; Verdugo, T ; Natarajan, P ; Siana, B ; Atek, H ; Rexroth, M

Astronomy and astrophysics (Berlin), 2016-04, Vol.588 [Periódico revisado por pares]

EDP Sciences

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5
A review of ultrasound common carotid artery image and video segmentation techniques
A review of ultrasound common carotid artery image and video segmentation techniques
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A review of ultrasound common carotid artery image and video segmentation techniques

Loizou, Christos P.

Medical & biological engineering & computing, 2014-12, Vol.52 (12), p.1073-1093 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
A Crustal Model for the Eastern Alps Region and a New Moho Map in Southeastern Europe
A Crustal Model for the Eastern Alps Region and a New Moho Map in Southeastern Europe
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A Crustal Model for the Eastern Alps Region and a New Moho Map in Southeastern Europe

Molinari, Irene ; Raileanu, Victor ; Morelli, Andrea

Pure and applied geophysics, 2012-09, Vol.169 (9), p.1575-1588 [Periódico revisado por pares]

Basel: SP Birkhäuser Verlag Basel

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7
An Insightful Analysis of Digital Forensics Effects on Networks and Multimedia Applications
An Insightful Analysis of Digital Forensics Effects on Networks and Multimedia Applications
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An Insightful Analysis of Digital Forensics Effects on Networks and Multimedia Applications

Rajeev, Aishwarya ; Raviraj, P.

SN computer science, 2023-01, Vol.4 (2), p.186, Article 186 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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8
Deep learning assisted measurement of echocardiographic left heart parameters: improvement in interobserver variability and workflow efficiency
Deep learning assisted measurement of echocardiographic left heart parameters: improvement in interobserver variability and workflow efficiency
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Deep learning assisted measurement of echocardiographic left heart parameters: improvement in interobserver variability and workflow efficiency

Mor-Avi, Victor ; Blitz, Alexandra ; Schreckenberg, Marcus ; Addetia, Karima ; Kebed, Kalie ; Scalia, Gregory ; Badano, Luigi P. ; Kirkpatrick, James N. ; Gutierrez-Fajardo, Pedro ; Tude Rodrigues, Ana Clara ; Sadeghpour, Anita ; Tucay, Edwin S. ; Prado, Aldo D. ; Tsang, Wendy ; Ogunyankin, Kofo O. ; Rossmanith, Alexander ; Schummers, Georg ; Laczik, Dorottya ; Asch, Federico M. ; Lang, Roberto M.

The international journal of cardiovascular imaging, 2023-12, Vol.39 (12), p.2507-2516 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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9
Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning
Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning
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Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning

Venkatesh, Kummari ; Naik, K. Jairam

Signal, image and video processing, 2024-07, Vol.18 (5), p.4553-4568 [Periódico revisado por pares]

London: Springer London

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10
Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset
Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset
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Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset

Yadav, Ankit ; Vishwakarma, Dinesh Kumar

Signal, image and video processing, 2024-06, Vol.18 (4), p.3341-3352 [Periódico revisado por pares]

London: Springer London

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